Property Price Attributable to Subdivision Neighbourhood Designs: Hedonic Pricing Model Approach in Bangkok Metropolitan Region, Thailand
DOI:
https://doi.org/10.11113/ijbes.v7.n3.513Keywords:
Property price, Subdivision neighbourhood designs, Single-family house, Hedonic pricing, Bangkok Metropolitan RegionAbstract
The purpose of this paper is to determine whether the property price is caused by the subdivision neighbourhood designs in the Bangkok Metropolitan Region (BMR), Thailand. A total price model is developed during the analysis process. The model provides a greater understanding of the significance of the subdivision neighbourhood designs that are related to property pricing. This paper is based on data collection from 50 subdivisions across the BMR area. The hedonic pricing approach is used to develop the models. The semi-log models are developed on 1,182 samples of property sales located in eight zones of the BMR. The independent variables include general bundles of property characteristics and the subdivision neighbourhood design items. There are two major findings in this study. First, this study provides a suitable property price model for subdivision development in the BMR. The model presents the high level of R2 at 0.948. The model confirms that all classical hedonic variables are statistically significant to the property price. Furthermore, the additional alternative variables for the subdivision neighbourhood design items can improve the level of variation explained by the model. Second, this study finds that the average property price attributable to the subdivision neighbourhood design is about 20.24 % of the total property price. The components of the subdivision neighbourhood design items consist of project characteristics, recreation features, social facilities, and transportation system design. The model should support knowledge of the design’s impact on the property price for the Government or policy makers on making appropriate policies for urban and environmental management. The model provides a guideline for developers on appropriate property selling-prices for subdivision development in the BMR. The new understanding of the property price attributable to the subdivision neighbourhood designs support suitable decision making on new subdivision development in the BMR
References
Asabere, P., & Huffman, F. (2009). The relative impacts of trails and greenbelts on home price. The Journal of Real Estate Finance and Economics, 38(4): 408-419.
Bally, D. C. (2010). Thinking outside the blocks–Exploring alternatives to traditional neighborhood design. Paper presented at the ESRI International User Conference.
Baranzini, A., & Schaerer, C. (2007). A sight for sore eyes: Assessing the value of view and landscape use on the housing market. Geneve: Center de Recheche Appliquee en Gestion. Document Number)
Barton, H. (2000). Conflicting perceptions of neighbourhood. In H. Barton (Ed.), Sustainable communities: The potential for eco-neighbourhoods, 3-18. London, UK: Earthscan Publications.
Ben-Joseph, E. (1995). Residential street standards and neighborhood traffic control: a survey of cities' practices and public officials' attitudes: University of California at Berkeley, Institute of Urban and Regional Development.
Ben-Joseph, E. (2003). Subdivision regulations: Practices & attitudes: Lincoln Institute of Land Policy. Document Number)
Benefield, J. D. (2009). Neighborhood amenity packages, property price, and marketing time. Property Management, 27(5): 348-370.
Blair, J., Prasad, D., Judd, B., Zehner, R., Soebarto, V. I., & Hyde, R. (2004). Affordability and sustainability outcomes: a triple bottom line assessment of traditional development and master planned communities, Vol 1-Final report: Australian Housing and Urban Research Institute. Document Number)
Bosworth, K. (2007). Conservation subdivision design: Perceptions and reality. University of Michigan, Ann Arbor, MI, USA
Buranathanung, N., Ahuja, A., Karnchanasai, C., Preecha, R., & Sodsrichai, T. (2004). Housing price index: The Thai experience (in Thai). Bangkok: Bank of Thailand. Document Number)
Calhoun, C. A. (2002). Property valuation models and house price indexes for the provinces of Thailand: 1992-2000. Housing Finance International, 31-41.
Cannaday, R. E., & Colwell, P. F. (1990). Optimization of subdivision development. The Journal of Real Estate Finance and Economics, 3(2): 195-206.
Cho, S. H., Poudyal, N. C., & Roberts, R. K. (2008). Spatial analysis of the amenity value of green open space. Ecological Economics, 66(2-3): 403-416.
Choguill, C. L. (2008). Developing sustainable neighbourhoods. Habitat International, 32(1): 41-48.
Chongyosying, C. (2005). Application of a hedonic pricing model for real estate valuation in Bangkok Metropolis. Ramkhamhaeng University, Bangkok, Thailand.
Clifton, K., Ewing, R., Knaap, G.-J., & Song, Y. (2008). Quantitative analysis of urban form: a multidisciplinary review. Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 1(1): 17 - 45.
Ewing, R. H. (1996). Best development practices : doing the right thing and making money at the same time. Chicago: American Planning Association.
Foltête, J.-C., & Piombini, A. (2007). Urban layout, landscape features and pedestrian usage. Landscape and Urban Planning, 81(3): 225-234.
Gao, X., & Asami, Y. (2007). Effect of urban landscapes on land prices in two Japanese cities. Landscape and Urban Planning, 81(1-2): 155-166.
Geoghegan, J., Wainger, L. A., & Bockstael, N. E. (1997). Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS. Ecological Economics, 23(3): 251-264.
He, C., Wang, Z., Guo, H., Sheng, H., Zhou, R., & Yang, Y. (2010). Driving forces analysis for residential housing price in Beijing. Procedia Environmental Sciences, 2: 925-936.
Henry, M. S. (1999). Landscape quality and the price of single family houses: further evidence from home sales in Greenville, South Carolina. Journal of Environmental Horticulture, 17: 25-30.
Hui, E. C. M., Chau, C. K., Pun, L., & Law, M. Y. (2007). Measuring the neighboring and environmental effects on residential property value: Using spatial weighting matrix. Building and Environment, 42(6): 2333-2343.
Jim, C. Y., & Chen, W. Y. (2006). Impacts of urban environmental elements on residential housing prices in Guangzhou (China). Landscape and Urban Planning, 78(4): 422-434.
Jim, C. Y., & Chen, W. Y. (2009). Value of scenic views: Hedonic assessment of private housing in Hong Kong. Landscape and Urban Planning, 91(4): 226-234.
Johnson, D. E. (2008). Fundamentals of land development. New Jersey: John Wiley & Sons.
Jones, C., Leishman, C., & MacDonald, C. (2009). Sustainable urban form and residential development viability. Environment and Planning A, 41(7): 1667–1690.
Kauko, T. (2003). Residential property value and locational externalities: On the complementarity and substitutability of approaches. Journal of Property Investment & Finance, 21(3): 250-270.
Kong, F., Yin, H., & Nakagoshi, N. (2007). Using GIS and landscape metrics in the hedonic price modeling of the amenity value of urban green space: A case study in Jinan City, China. Landscape and Urban Planning, 79(3-4): 240-252.
Lawhon, L. L. (2009). The neighborhood unit: Physical design or physical determinism? Journal of Planning History, 8(2): 111-132.
Limsombunchai, V., Gan, C., & Lee, M. (2004). House price prediction: Hedonic Price Model vs. Artificial Neural Network. American Journal of Applied Sciences, 1(3): 193-201.
Matthews, J., & Turnbull, G. (2007). Neighborhood street layout and property value: The interaction of accessibility and land use mix. The Journal of Real Estate Finance and Economics, 35(2): 111-141.
Mohamed, R. (2006). The economics of conservation subdivisions: Price premiums, improvement costs, and absorption rates. Urban Affairs Review, 41(3): 376-399.
Palmquist, R. B., Karl-Göran, M., & Jeffrey, R. V. (2005). Chapter 16 Property value models. In Handbook of Environmental Economics 2, :763-819. Elsevier.
Pasuthip, P., & Panthasen, T. (2009). The promotion of interaction between residents in the subdivision communities by physical environment design (in Thai). Payap University Journal, 20(2): 196-218"
Perry, C. A. (2007). "The neighborhood unit" from regional plan of New York and its environs (1929). In M. Larice & E. Macdonald (Eds.), The urban design reader, 54-65. New York: Routledge.
Piputsitee, C., & Kittikunaporn, C. (2006). Real estate business handbook (in Thai). Bangkok, Thailand: FPM Consultant
Poudyal, N. C., Hodges, D. G., Tonn, B., & Cho, S.-H. (2009). Valuing diversity and spatial pattern of open space plots in urban neighborhoods. Forest Policy and Economics, 11(3): 194-201.
Randeniya, T. D., Ranasinghe, G., & Amarawickrama, S. (2017). A model to estimate the implicit values of housing attributes by applying the Hedonic pricing method. 4(2): 113-120.
REIC. (2009). The glossary of real estate terms in Thailand (in Thai). Bangkok, Thailand: Real Estate Information Centre (REIC).
Roberts, A. (2007). Urban park, open space and residential property values. London, UK: Royal Institute of Chartered Surveyors (RICS). Document Number)
SET. (2010). List of property development companies Retrieved 6th June 2010, from http://marketdata.set.or.th/mkt/sectorquotation.do?sector=25&industry=5§orName=A_5_25_0_S&market=A
Sheng, Y. K. (2002). Housing, the state and the market in Thailand: Enabling and enriching the private sector. Journal of Housing and the Built Environment, 17: 33–47.
Sirmans, S. G., Macpherson, D. A., & Zietz, E. N. (2005). The composition of hedonic pricing models. Journal of Real Estate Literature, 13(1): 1-44.
Song, Y., & Knaap, G.-J. (2003). New urbanism and housing values: A disaggregate assessment. Journal of Urban Economics, 54(2): 218-238.
Song, Y., & Knaap, G.-J. (2004). Measuring the effects of mixed land uses on housing values. Regional Science and Urban Economics, 34(6): 663-680.
Southworth, M., & Ben-Joseph, E. (2004). Reconsidering the cul-de-sac. Access, 24, 28-33.
Suttiwongpan, C., Tochaiwat, K., & Naksuksakul, S. (2019). Influence of designs following green assessment criteria on decision to buy houses in housing projects: Thailand’s ecovillage. ABAC Journal, 39(4): 1-15.
Tangmatitham, P. (2010). How to make the "better" houses, but "cheaper"? (in Thai). In Non-secreat tips, Supalai + Real estate, 142-147. Bangkok, Thailand: Nai-in Book.
Tochaiwat, K., Kulintonprasert, W., Jiraprasertkun, C., & Yang, C. Y. (2018). Influence of master plan designs on housing project purchase decisions in Bangkok metropolitan areas. International Journal of Building, Urban, Interior and Landscape Technology (BUILT), 11(2018): 43-54.
Warrick, B., & Alexander, T. (1998). Changing consumer preferences. In A. Schmitz & L. W. Bookout (Eds.), Trends and innovations in master-planned communities, ix: 156 . Washington, D.C.: Urban Land Institute.
Yamane, T. (1973). Statistics: An introductory analysis (3d ed.). New York: Harper & Row.
Downloads
Published
How to Cite
Issue
Section
License
Copyright of articles that appear in International Journal of Built Environment and Sustainability belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions or any other reproductions of similar nature.
Authors who publish with this journal agree to the following terms:
- This Journal applies Creative Commons Licenses of CC-BY-NC-SA
- Authors retain copyright and grant the journal right of publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).